Mauro Papotti
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Treatments and Mutations 35
- Occupational and environmental lung diseases 17
- Medical Imaging and Pathology Studies 17
- Prostate Cancer Treatment and Research 16
- Prostate Cancer Diagnosis and Treatment 12
- Lung Cancer Diagnosis and Treatment 12
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 15
- Oncology top 1%
- Lung Cancer Research Studies 13
- Nephrology top 5%
- Molecular Biology top 5%
- Co-authors
- Giorgio V. ScagliottiPaolo CeppiSilvia NovelloLuisella RighiMarco VolanteGiulio RossiGiuseppe PelosiMarco Lo Iacono
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)Journal of Clinical Oncology (2 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Mauro Papotti
96 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Pulmonary and Respiratory Medicine 2.7k
- Cancer Research 1.1k
- Oncology 1.7k
- Nephrology 158
- Molecular Biology 1.3k
Countries citing papers authored by Mauro Papotti
This map shows the geographic impact of Mauro Papotti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mauro Papotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Papotti more than expected).
Fields of papers citing papers by Mauro Papotti
This network shows the impact of papers produced by Mauro Papotti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mauro Papotti. The network helps show where Mauro Papotti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mauro Papotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 16 | |
| 4 | The 2021 WHO Classification of Lung Tumors: Impact of Advances Since 2015breakdown → | 2021 | 752 |
| 5 | 2019 | 28 | |
| 6 | 2019 | 9 | |
| 7 | 2014 | 16 | |
| 8 | 2014 | 114 | |
| 9 | 2013 | 40 | |
| 10 | 2013 | 26 | |
| 11 | Biopsy and radical prostatectomy pathological patterns influence Prostate cancer gene 3 (PCA3) score. | 2013 | 5 |
| 12 | 2011 | 167 | |
| 13 | 2010 | 256 | |
| 14 | 2010 | 126 | |
| 15 | 2009 | 51 | |
| 16 | 2009 | 58 | |
| 17 | 2008 | 39 | |
| 18 | 2008 | 35 | |
| 19 | 2007 | 16 | |
| 20 | 2007 | 10 |
About Mauro Papotti
Mauro Papotti is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 96 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (35 papers), Occupational and environmental lung diseases (17 papers), Medical Imaging and Pathology Studies (17 papers), Prostate Cancer Treatment and Research (16 papers), Cancer Genomics and Diagnostics (15 papers), Lung Cancer Research Studies (13 papers), Prostate Cancer Diagnosis and Treatment (12 papers) and Lung Cancer Diagnosis and Treatment (12 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.7k citations), Cancer Research (1.1k citations) and Oncology (1.7k citations). Mauro Papotti has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Giorgio V. Scagliotti, Paolo Ceppi, Silvia Novello, Luisella Righi, Marco Volante, Giulio Rossi, Giuseppe Pelosi, Marco Lo Iacono, Mattia Barbareschi and Valentina Monica. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.